Work

Low Precision for Lower Energy Consumption: Preprint

Year: 2024
Type: article
Abstract: Low-precision numeric types offer significant efficiency and energy benefits for computing applications. Mixed-precision algorithms, combining low and high precision types, maintain accuracy while improving performance. Despite advantages, there exist challenges on adapting existing mixed-precision algorithms to new technologies, such as new hardware architectures and new low-precision data types. This paper presents current challenges and opportunities to advance science in this domain targetting more energy efficient solutions.
Language: English
Open Access status: green
OpenAlex ID: W4402466699
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